text-to-image | Text to image synthesis using thought vectors | Machine Learning library
kandi X-RAY | text-to-image Summary
kandi X-RAY | text-to-image Summary
This is an experimental tensorflow implementation of synthesizing images from captions using Skip Thought Vectors. The images are synthesized using the GAN-CLS Algorithm from the paper Generative Adversarial Text-to-Image Synthesis. This implementation is built on top of the excellent DCGAN in Tensorflow. The following is the model architecture. The blue bars represent the Skip Thought Vectors for the captions. Image Source : Generative Adversarial Text-to-Image Synthesis Paper.
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Top functions reviewed by kandi - BETA
- Load the model
- Load parameters from file
- Build embedding layer
- Build the embedding layer
- Builds the model
- Generate tensorflow
- Compute discriminator layer
- Generate a weight weight matrix
- Generate orthoonal weight matrix
- Build the generator
- Generate the sampler
- Saves all the captions to files
- Encodes captions into vocabulary
- Encodes the given features
- Split text into words
- Layer layer
- Compute the name of a p - name
- Download flower dataset
- Ensure that the path exists
- Saves the captions for a given split
- Load training data
- Load an image
- Get training data
- Compute the n - grams for a given query
- Saves images for visualization
- Create the data paths
text-to-image Key Features
text-to-image Examples and Code Snippets
Lines of Code : 97License : Permissive (MIT)
Copyimport os
import sys
import numpy as np
from random import shuffle
def main():
seed = 42
np.random.seed(seed)
current_dir = os.path.dirname(__file__)
# add the keras_text_to_image module to the system path
sys.path.appen 
License : No LicenseCopy@misc{oord2018neural,
title={Neural Discrete Representation Learning},
author={Aaron van den Oord and Oriol Vinyals and Koray Kavukcuoglu},
year={2018},
eprint={1711.00937},
archivePrefix={arXiv},
primaryClass={cs from docarray import DocumentArray
da = DocumentArray.pull('ttl-original', show_progress=True, local_cache=True)
from docarray import DocumentArray
da = DocumentArray.from_files(['left/*.jpg', 'right/*.jpg'])
da.plot_image_sprites()
from clip_cl Community Discussions
Trending Discussions on text-to-image
QUESTION
I trained a text to image generation model based on https://github.com/aelnouby/Text-to-Image-Synthesis. Now I have 2 path files (one for generator , another for discriminator) . How to generate images using this path files?
...ANSWER
Answered 2021-Jun-06 at 06:40You need to pass your generator path file here. self.generator.load_state_dict(torch.load(pre_trained_gen)) Refer line 28 of trainer.py
QUESTION
I have made a function that can convert text to image according to this link:
...ANSWER
Answered 2020-Aug-06 at 10:10Use context.font = ... before you use context.fillText(...) to change the way text is rendered (as suggested by Darth)
(I changed your canvas height to 200 to fit the text and changed the position it is drawn to 0, 100)
QUESTION
ANSWER
Answered 2019-Dec-03 at 18:45You probably need to add custom HTML + CSS, and re-use some of the classes from Semantic-UI.
Try something like this:
QUESTION
When I tried to run dataloader.py I got the following import error. I tried the code line by line and I found this error came while importing tensorlayer as t1.
...ANSWER
Answered 2019-Mar-25 at 13:53Run:
QUESTION
The CopyAsPicture method in VBA in Word (I am using Word 2010 and 2016) is to transform a given piece of text (some string selected in the document) into a picture.
Microsoft provides this sample script in its tutorials:
...ANSWER
Answered 2019-Mar-06 at 12:31.PasteSpecial DataType:=wdPasteMetafilePicture
QUESTION
This is a very unspecific question, but I couldn't find any reasonable help in the internet to complete this project on my on, so I thought here may be somebody who could help me.
I would like to print text (with emojis in it) on a background image with nodejs.
So I'm able to convert text to an image with text-to-image or text2png. I'm also able to convert an emoji to image data. But I haven't found a way to print text on an existing (background) image AND even add the emoji image at the right position in between the text.
If you have a solution in an other language for example python, that would be okay too. Then I would only need to get the text from nodes to python, which should not be too complicated.
...ANSWER
Answered 2018-Sep-19 at 18:36interesting that no one has answered this - I am trying to find a solution for the exact same need (minus the emoji :))
If you can to text to image - then I just found an article that shows how to composite two images using jimp - this seems like it would meet you needs - providing text-to-image will save with transparent background.
I am going to try both these steps - and I'll get back to you.
FOLLOW UP: There is "add-text-to-image" - it's lightweight - although it's poorly documented, I had to look at the source to get the parameters available.
JIMP - lets you add text 'out of the box' - and composite images, so you could do you text and ad you emoji.
Hope that helps
QUESTION
I am trying to change the output of this encoder:
https://github.com/akapila011/Text-to-Image/blob/master/text_to_image/encode.py
from grayscale to a tri-color scheme such as the one shown here: Tricolor
The main lines of code I need to change from the encoder are:
ANSWER
Answered 2018-Jul-14 at 02:02It looks like the PIL is the library that they are using. To answer your question, it really depends on how you want to encode your rgb values as chars. One way to do it would be to let one char represent the brightness of one of the colors - so it would take three chars to represent a pixel. The other point be sure of is that your chars will only represent values between 0 and 63 instead of the usual 0 to 255. Therefore you will want to multiply each value by 4 so that the image is not extremely dark.
Here's how I would rewrite the encode function:
QUESTION
I would like to change the output PNG of this script to tri-color (red, blue, yellow)
Instead of its current grayscale format.
I figure I need to change lines 34-45, but im not sure how to go about it.
...ANSWER
Answered 2018-Jul-13 at 04:58According to the PIL documentation for Image.putpixel():
im.putpixel(xy, colour)
Modifies the pixel at the given position. The colour is given as a single numerical value for single-band images, and a tuple for multi-band images.
So, to insert a coloured pixel using RGB format:
QUESTION
Flask newbie here, trying to show an image through Flask.
==============================================
~/server.py==============================================
...ANSWER
Answered 2018-Apr-20 at 23:48Follow these steps,
- Move
tree.jpgto static folder - As per your project structure, static path for image should be
~/static/tree.jpg Then use,
QUESTION
I would like to save Qtexedit's text to a image preferable a PNG.
i read in thread Rich text to image in Qt by Dmitry Sazonov
it can maybe be done using QTextEdit::document QTextDocument::drawContents
However i do not find any examples out there.
...ANSWER
Answered 2018-Jan-04 at 22:33The first thing you must do is create a QPixmap with an appropriate size, fill it with some background color, then create a QPainter, this will be responsible for drawing on the QPixmap, we use drawContents() to draw, we finish the painting with end(), at the end we save it with the save() function of QPixmap.
Example:
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Install text-to-image
You can use text-to-image like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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